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Computational Modeling of Aortic Heart Valve Mechanics Across Multiple Scales

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Computational Cardiovascular Mechanics

Abstract

Computational modeling is an excellent tool with which to investigate the mechanics of the aortic heart valve. The setting of the heart valve presents complex dynamics and mechanical behavior in which solid structures interact with a fluid domain. There currently exists no standard approach; a variety of strategies have been used to address the different aspects of modeling the heart valve. Simplifications reduce computational costs, but could compromise accuracy. As advancements in modeling techniques are made and utilized, more physiologically relevant models are possible. Computational studies of the aortic valve have contributed to an improved understanding of the mechanics of the normal valve, and insights into the progression of diseased valves.

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Authors and Affiliations

  1. Department of Bioengineering, University of California, Berkeley, CA, USA

    Laura R. Croft & Mohammad R. Kaazempur Mofrad

Authors
  1. Laura R. Croft
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  2. Mohammad R. Kaazempur Mofrad
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Correspondence to Mohammad R. Kaazempur Mofrad .

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Editors and Affiliations

  1. Veterans Affairs Medical Center, University of California, San Francisco, Clement St. 4150, San Francisco, 94121, U.S.A.

    Julius M. Guccione

  2. Purdue University Indianapolis, Indiana University, Barnhill Drive 635, Indianapolis, 46202, U.S.A.

    Ghassan S. Kassab

  3. Veterans Affairs Medical Center, University of California, San Francisco, Clement St. 4150, San Francisco, 94121, U.S.A.

    Mark B. Ratcliffe

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Croft, L.R., Kaazempur Mofrad, M.R. (2010). Computational Modeling of Aortic Heart Valve Mechanics Across Multiple Scales. In: Guccione, J., Kassab, G., Ratcliffe, M. (eds) Computational Cardiovascular Mechanics. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-0730-1_16

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  • DOI: https://doi.org/10.1007/978-1-4419-0730-1_16

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  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4419-0729-5

  • Online ISBN: 978-1-4419-0730-1

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